• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.4
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• pp.895-899
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• 2009

This paper presents a business models of the robot industry for copying with aging society that facilitates to create new business opportunities in the convergence age. In order to identify the market drivers for both convergence and aging society, the trends of them analyzed. Through constructing and analyzing market value chain, we design a set of the business model of the robot industry focused on u-health robots of a convergence service type integrated ubiquitous, health and robot. In addition, we describe the evolution path of the proposed business model in terms of technology development and market. Finally, we develop a matrix based evaluation framework to measure and assess the effectiveness of the business model.

• Convergence Security Journal
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• v.6 no.2
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• pp.31-42
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• 2006

In this paper, we proposed an integrated infrastructure for optimal information security to resolve these kinds of problems and to implement more powerful protection. The proposed infrastructure presents a security framework, provides a functional mechanism, and implements a scheme for information security based on the design concept of integrated structures. In order to ensure effective malicious traffic blocking, this paper emphasizes that a comprehensive approach through infrastructure improvement and combination of scanning tool is the only measure for preparing against today's environment of virus infiltration. The proposed model is a measure developed at a time when a permanent technological solution to virus is yet to be developed. A performance analysis model is developed and the performance is evaluated through the case studies for the proposed methodology. The effectiveness of the infrastructure for optimal information security needs the continuous diagnostic evaluation and tuning through the users or the organizations.

• The Journal of the Korea Contents Association
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• v.10 no.4
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• pp.115-122
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• 2010

Most of intelligent services provided today work based on the users' location. Numerous devices for indoor localization services have their own characteristic functions and operating systems, we need the interoperability and diversity of middleware to connect and control these devices. The indoor localization method using existing inertial sensors are relatively less efficient because of additional cost according to the size of space. Accordingly, the indoor user localization method proposed in this study supports integrated services using OSGi framework, an open source project, and solves problems in inertial sensor based on accurate distance to a specific object measured using ultrasonic sensor. Furthermore, it reduces errors resulting from difference in response rate by adding the reliability item.

• Informatization Policy
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• v.17 no.1
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• pp.120-135
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• 2010

Competition is now moving from between companies to between networked enterprises(NE). It's difficult to evaluate the outcome of NE because formalization of collaboration among partners is difficult. This paper introduces a performance-management model focusing on collaboration in NE. The model is an integration of BSC and EFQM model, but it is different from conventional researches as it links performance management with strategic management based on a comprehensive framework of collaboration. Theoretical and empirical researches are further required to validate the model. Studying cases of several Korean NEs, we have obtained some findings for further research and application.

• Review of KIISC
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• v.11 no.3
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• pp.24-37
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• 2001

정보화의 급진전에 따라 역기능의 문제도 대폭적으로 증가되고 있는 추세 속에서 이를 극복하고정보화의 급진전에 따라 역기능의 문제도 대폭적으로 증가되고 있는 추세 속에서 이를 극복하고자 하는 노력이 국제적으로 활발하게 전개되고 있다. 보다 체계적이고 비용 효과성을 고려하여 미국, 유럽, 호주 등 많은 선진국가에서는 지난 수년동안 정보를 보호하는 기준이나 지침 등을 학계, 산업계, 연구기관, 정부기관과 공동 또는 자체적으로 개발하여 활용하고 있거나 활용 예정에 있다. 국내에서도 이러한 접근 방식의 중요성을 인식하고 정보통신망이용촉진및정보보호등에관한법률을 개정하여 정보보호관리체계에 대한 인증 제도를 2001년 7월 1일부터 시행하기에 이르렀다. 이에 따라 국내에서도 동 법에 근거하여 인증업무를 수행하게 될 한국정보보호센터에서 국내의 현실에 맞는 정보 보호관리기준 마련 작업을 1년여 동안 추진하여 왔으며, 각고의 노력을 기울이고 있는 상태이다. 이에 따라 본 고에서 는 정보보호관리체계에 대한 구체적인 소개와 더불어 각 국에서 노력을 기울이고 있는 정보보호 관리를 위해 마련하여 온 지침과 절차 및 기준 등의 내용을 소개하고, 각각이 가지고 있는 특성들을 프레임워크 수준에서 살펴보기로 하며, 제시하고 있는 통제사항들을 간략하게 비교함으로써 정보보호관리체계의 수립과 인증 제도의 효과성에 대하여 많은 관련자들의 인식을 제고하고자 한다. 그리고, 향후 정보보호관리체계 수립 및 인증제도의 도입과 운용이 활발하게 이루어지고 활성화될 경우를 미리 준 비하기 위하여 정보보호관리를 위한 성숙도의 측정에 대한 연구 방향을 나름대로 제시하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.169-172
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• 2022

2015년부터 NIST에서는 경량 암호 공모전을 개최하여 저사양 기기에서 활용할 경량 암호 알고리즘을 개발해오고 있다. 본 논문에서는 경량 암호 공모전에서 발표된 Romulus 암호에 활용되는 Tweakey 프레임워크로 설계된 Tweakable 블록암호 Skinny의 최적화 구현을 최신 프로세서 중 하나인 Apple M1 프로세서 상에서 진행하였다. M1 프로세서는 ARMv8 아키텍처로 설계되었으며, ARMv8 벡터 명령어 중 TBL 명령어를 활용한 라운드 함수의 효율적인 구현으로 최적화를 진행하였다. Skinny 블록암호의 블록 길이 128-bit 구현을 진행하였으며, 해당 프로세서에서 구현된 skinny 구현 연구가 없기 때문에 Referenc C코드와 비교를 진행하였다. 성능 측정 결과 128-bit 키 길이에서는 약 19배의 성능 향상을 확인하였으며, 키 길이 384-bit에서는 약 32배의 높은 성능 향상을 확인할 수 있다.

• Journal of the Korea Computer Graphics Society
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• v.24 no.3
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• pp.73-81
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• 2018

In this paper, we present a motion-driven rowing simulation framework that allows multiple players to row a boat together by their harmonized movements. In the actual rowing game, it is crucial for the players to synchronize their rowing with respect to time and pose so as to accelerate the boat. Inspired by this interesting feature, we measure the motion similarity among multiple players in real time while they are doing rowing motions and use it to control the velocity of the boat in a virtual environment. We also employ game components such as catching an item which can accelerate or decelerate the boat depending on its type for a moment once it has been obtained by synchronized catching behaviors of the players. By these components, the players can be encouraged to more actively participate in the training for a good teamwork to produce harmonized rowing movements Our methods for the motion recognition for rowing and item catch require the tracking data only for the head and the both hands and are fast enough to facilitate the real-time performance. In order to enhance immersiveness of the virtual environment, we project the rowing simulation result on a wide curved screen.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.10 no.5
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• pp.409-416
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• 2017

In this paper, we consider a framework of compressed sensing over finite fields. One measurement sample is obtained by an inner product of a row of a sensing matrix and a sparse signal vector. A recovery algorithm proposed in this study for sparse signals based probabilistic decoding is used to find a solution of compressed sensing. Until now compressed sensing theory has dealt with real-valued or complex-valued systems, but for the processing of the original real or complex signals, the loss of the information occurs from the discretization. The motivation of this work can be found in efforts to solve inverse problems for discrete signals. The framework proposed in this paper uses a parity-check matrix of low-density parity-check (LDPC) codes developed in coding theory as a sensing matrix. We develop a stochastic algorithm to reconstruct sparse signals over finite field. Unlike LDPC decoding, which is published in existing coding theory, we design an iterative algorithm using probability distribution of sparse signals. Through the proposed recovery algorithm, we achieve better reconstruction performance as the size of finite fields increases. Since the sensing matrix of compressed sensing shows good performance even in the low density matrix such as the parity-check matrix, it is expected to be actively used in applications considering discrete signals.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.2
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• pp.99-110
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• 2023

This study proposed a classification of malicious network traffic using the cyber threat framework(Mitre ATT&CK) and machine learning to solve the real-time traffic detection problems faced by current security monitoring systems. We applied a network traffic dataset called UNSW-NB15 to the Mitre ATT&CK framework to transform the label and generate the final dataset through rare class processing. After learning several boosting-based ensemble models using the generated final dataset, we demonstrated how these ensemble models classify network traffic using various performance metrics. Based on the F-1 score, we showed that XGBoost with no rare class processing is the best in the multi-class traffic environment. We recognized that machine learning ensemble models through Mitre ATT&CK label conversion and oversampling processing have differences over existing studies, but have limitations due to (1) the inability to match perfectly when converting between existing datasets and Mitre ATT&CK labels and (2) the presence of excessive sparse classes. Nevertheless, Catboost with B-SMOTE achieved the classification accuracy of 0.9526, which is expected to be able to automatically detect normal/abnormal network traffic.

• Journal of the Korean Society of Marine Environment & Safety
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• v.29 no.7
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• pp.713-723
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• 2023

Climate change is significantly affecting coastal areas, and its impacts are expected to intensify. Recent studies on climate change adaptation and risk assessment in coastal regions increasingly integrate the concepts of recovery resilience and vulnerability. The aim of this study is to develop a measurement model for coastal hazard recovery resilience in the context of climate change adaptation. Before constructing the measurement model, a comprehensive literature review was conducted on coastal hazard recovery resilience, establishing a conceptual framework that included operational definitions for vulnerability and recovery resilience, along with several feedback mechanisms. The measurement model for coastal hazard recovery resilience comprised four metrics (MRV, LRV, RTSPV, and ND) and a Coastal Resilience Index (CRI). The developed indices were applied to domestic coastal erosion cases, and regional analyses were performed based on the index grades. The results revealed that the four recovery resilience metrics provided insights into the diverse characteristics of coastal erosion recovery resilience at each location. Mapping the composite indices of coastal resilience indicated that the areas along the East Sea exhibited relatively lower coastal erosion recovery resilience than the West and South Sea regions. The developed recovery resilience measurement model can serve as a tool for discussions on post-adaptation strategies and is applicable for determining policy priorities among different vulnerable regional groups.